Abstract: Traditional independent task scheduling algorithms in cloud computing may results in higher energy consumption of resources or longer makespan of tasks.This paper proposes two energy-aware task scheduling algorithms of cloud computing to consider makespan and the total energy consumption.They adopt the genetic algorithm to parallel find the reasonable scheduling scheme.These two algorithms use the methods of unify and double fitness to define the fitness function and select individuals.Compared with the algorithm considering only about time or energy consumption, the simulation results demonstrate the two algorithms can complete the tasks and reduce the energy consumption efficiently.